Product

Turn every eligible call into a reviewable QA record

Most contact centers still judge quality from a thin slice of conversations. QaTracker evaluates eligible recorded calls against your scorecards, then puts scores, findings, and evidence in front of the people who still make the final call.

Call review

A score is useful only when you can defend it

Managers should not have to reconstruct why a call scored the way it did. Category scores and evidence-linked findings sit together so a reviewer can confirm, adjust, coach, or escalate from the same record.

Call review

CALL-4892 · Nino T. · Retail Banking · Tbilisi

MediumPending review

Overall score

87

/ 100

Started
2026-07-16 · 09:14
Duration
14m 23s
Language
Georgian
Outcome
Resolved
Greeting and identity96
Process adherence88
Required disclosures74
Resolution quality91
Conduct and tone93

Evidence-linked findings

  • Required fee-change disclosure

    08:41

    Fee timing was mentioned, but the required reference to where the customer can review full terms was not detected.

    Agent: "The updated schedule applies from next month. I can send the details by SMS if that helps."
    MediumPending review
  • Identity verification before account detail

    01:12

    Criterion met. Shown as supporting evidence for the overall score.

    Agent confirmed full name and date of birth before discussing card settings.
    LowConfirmed

Fictional demo data for illustration

Operating workflow

From recorded conversations to accountable decisions

The path is deliberate: ingest what your center already records, evaluate it with your criteria, surface exceptions, then keep humans in charge of the outcome.

  1. 01

    Connect call sources

    Bring in eligible recorded inbound and outbound conversations from the environment your agents already use. Coverage starts with what your center can lawfully and operationally evaluate.

  2. 02

    Transcribe and structure

    Conversations become searchable records, not disposable audio. Structure is what lets QA, compliance, and operations inspect the same moment later.

  3. 03

    Apply scorecards and policies

    Evaluation follows your quality, process, and compliance criteria. Consistency comes from shared standards, not from asking reviewers to remember the same rubric every shift.

  4. 04

    Surface evidence and exceptions

    Findings, risk signals, and trends rise to the top so managers know where attention is deserved. The system prioritizes review; it does not close the case for you.

  5. 05

    Review, coach, export, or escalate

    Humans confirm or adjust AI-assisted scores, coach with evidence, and leave an auditable trail. Accountability stays with the people who own quality in your organization.

Queues and context

See the queue and the team picture in one place

Sampling hides the week. This view shows how much volume was evaluated, which conversations still need a person, and what coaching work has already started, so supervisors allocate attention with intent.

Team context

Retail Banking · Tbilisi

A weekly operating snapshot for one team: how much volume was evaluated, where scores sit, and how many conversations still need a person.

Week of 13 Jul 2026

Eligible calls evaluated

1,284

Coverage beyond a small sample

Avg. QA score

84

Against this team's scorecard

High-risk for review

47

Queued for human attention

Coach actions opened

19

Evidence already attached

Review queue

Calls waiting for human judgment

High-risk and incomplete evaluations rise first, so supervisors spend time on conversations that need confirmation, coaching, or escalation, not on random samples.

CallAgentScoreRiskReview stateStarted

CALL-4892

14m 23s

Nino T.

Retail Banking · Tbilisi

87MediumPending review2026-07-16 · 09:14

CALL-4891

21m 08s

Mariam K.

Claims Support · Batumi

72HighPending review2026-07-16 · 09:02

CALL-4890

06m 51s

David G.

Clinic Scheduling · Central

94LowConfirmed2026-07-16 · 08:47

CALL-4889

11m 40s

Ana L.

Retail Banking · Kutaisi

61HighEscalated2026-07-15 · 17:22

CALL-4888

09m 17s

Giorgi M.

Insurance Service · Tbilisi

81MediumAdjusted2026-07-15 · 16:05

Fictional demo data for illustration

Capabilities

What the platform is built to change in daily QA work

Each capability below answers a specific failure mode of manual sampling: uneven coverage, weak evidence, delayed coaching, or criteria that drift between reviewers.

01

Custom QA scorecards

Your evaluation framework stays the source of truth. QaTracker applies the same company-defined categories across eligible calls so quality judgment does not depend on which reviewer happened to listen.

02

Compliance and script checks

Potential disclosure, script, process, and conduct issues surface early enough for reviewers to act. The goal is earlier visibility into risk, not a claim that legal judgment can be automated away.

03

Evidence-linked call review

Every finding should show its work: the criterion, the conversation excerpt, why it was flagged, and what a reviewer can do next. That makes scores discussable instead of mysterious.

04

Agent and team trends

When coverage expands, patterns become visible across agents, teams, and periods. Leaders can coach from recurring weaknesses instead of waiting for the next sampling cycle to stumble onto them.

05

Risk prioritization

Not every conversation needs the same urgency. QaTracker ranks calls for human review using score outcomes and flagged criteria so limited supervisor time lands where it matters most.

06

Coaching workflows

Coaching sticks when both sides can hear the same moment. Supervisors get concrete examples tied to criteria, which shortens the gap between a weak call and a useful feedback conversation.

07

Searchable conversation records

Structured records support audit questions, escalations, and internal review without reconstructing history from scattered notes or incomplete sample sheets.

08

Regional-language analysis

Built for contact centers that operate in Georgian and English today, with planned expansion into additional regional languages where the same QA operating model applies.